In this paper, a multi-resolution feature extraction algorithm for palm-print recognition is
proposed based on two-dimensional discrete wavelet transform (2D-DWT), which efficiently …

Palm print is a biometric pattern which possesses high discriminability due to its multiple
resolution features like principle lines, wrinkles, datum points, and ridges etc. In this work, a …

In the paper, we improve the Local Binary Pattern Histogram (LBPH) approach and combine
it with Dual-Tree Complex Wavelet Transform (DT-CWT) to propose a Dual-Tree Complex …

This work proposes Block-wise uniform local binary pattern histogram (BULBPH) followed
by kernel discrimination analysis (KDA) as descriptor for palmprint recognition. BULBPH …

Rotation and noise invariant feature extraction is a challenge in palmprint recognition. This
work presents a novel RDF descriptor based on Radon, Dual tree complex wavelet, and …

Palmprint recognition systems are dependent on feature extraction. A method of feature
extraction using higher discrimination information was developed to characterize palmprint …

Palmprint, as a new member of biometrics family, has attracted much of research attention in
the past decade. Many different algorithms and systems have been proposed and built …

The wavelet theory has become a hot research topic in the last few years for its important
relative characteristics, such as sub-band coding, multi-resolution analysis and filter banks …

Multispectral palmprint recognition has shown broad prospects for personal identification
due to its high accuracy and great stability. In this paper, we develop a novel illumination …

Biometric is the science of validating an individual's identity while using behavioral and
physiological characteristics. In unconstrained scenario, contactless palm-print recognition …